AI FACE 3000 Wide Dynamic Face Finger Recognition Device

FACE

3000

Finger

3000

Card Proximity

3000

Password

3000

Time Log

300000

Management Log

3000

Photo(User+Log)

10000

Wiegand In/Out

26/34

Time Zone

Yes

Exit Switch

Yes

Access Control

NC, NO, COM

Manual Bell

Yes

Door Sensor

Yes

NTP Server

Yes

Duress Finger

Duress Finger for Emergency situation

Tamper Alarm

Yes

Bell

NC, NO, Com

Time Period

Yes

AntiPass Back

Yes

CPU

SSD222D

RAM

Built-in 128MB DDR3

Flash

228MB SPI NAND

Verification Mode

1:1 & 1:N

Fingerprint sensor

600 DPI

FAR

<=0.0001%

FRR

<=1%

Identify Speed

Face detection: < 0.3s (It can detect 3 faces simultaneously)

Face recognition Angle

Face recognition: < 0.6s (Every face)

Basic technology

Finger recognition:<1s

Simultaneously Face identifiable

Left and right：≤30° / High and low：≤30° the NNIE neural network hardware engine

number of people

3

Camera

Color camera：1 million（1280*720） pixels Infrared camera：1 million（1280*720） pixels Field angle：57.2°（D）

Distance of recognition

0.5 –1.3M

LAN

10/100 Mbps Ethernet Port

WiFi

2.4 GHz

Push Data

Yes

Cloud

P2P Cloud

USB

USB device (Firmware burning, test channel)

Display

3.5″(480*320)

Voice output

Support

Touch screen

Support

Language

English

Working voltage

DC 12V 2.0A

Working temperature

-100C~ +600C

Working humidity(RH)

20% ~ 80%

Card Reader

Yes

Card Type

Proximity Readers

Controller

Compatible with Multi Door Controllers via Weigand

ON time Attendance

Windows and Web Attendance

SDK

SDK for Windows and Web

Push Technology

Centralized Attendance Management System (Public/Static IP)

Integration

Support Third Party Payroll/HRMS/ERP and other Applications

Platform Support

Time & Attendance, Canteen management, School Attendance, Product on Management, Gym & clubs